Large Salem Sets Avoiding Nonlinear Configurations
Jacob Denson

TL;DR
This paper constructs large Salem sets in the torus that avoid certain nonlinear configurations, extending previous work on pattern avoidance with large Hausdorff dimension.
Contribution
It introduces new methods to build Salem sets avoiding nonlinear solutions for a broad class of functions, with explicit dimension bounds.
Findings
Constructed Salem sets avoiding solutions to nonlinear equations with specified dimensions.
Extended pattern avoidance to uncountable families of Lipschitz functions.
Achieved Salem sets with dimensions depending on the number of variables and function properties.
Abstract
We construct large Salem sets avoiding patterns, complementing previous constructions of pattern avoiding sets with large Hausdorff dimension. For a (possibly uncountable) family of uniformly Lipschitz functions , we obtain a Salem subset of with dimension avoiding nontrivial solutions to the equation . For a countable family of smooth functions satisfying a modest geometric condition, we obtain a Salem subset of with dimension avoiding nontrivial solutions to the equation . For a set which is the countable union of a family of sets, each with lower Minkowski dimension , we obtain a Salem subset of of dimension $(dn -…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
